Data Process for Indoor Positioning based on WiFi Fingerprint

Cui, Xuerong and Wang, Mengyan and Li, Juan and Ji, Meiqi and Liu, Jianhang and Huang, Tingpei and Chen, Haihua (2019) Data Process for Indoor Positioning based on WiFi Fingerprint. In: Mobimedia 2019, 29-30 Oct 2019, Wehai, China.

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Currently, most of the existing location fingerprint indoor positioning algorithms are based on the original fingerprint database. The accuracy of the fingerprint database will directly affect the final positioning accuracy. A method based on skewness-kurtosis normality test and Kalman filter fusion is proposed in this paper. Experiments shows that the fusion algorithm can effectively remove the abrupt data and noise fluctuations for the RSSI (Received Signal Strength Indication) data, and achieve accurate and smooth output of the RSSI value.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: normal distribution kalman filter received signal strength indication fingerprint database
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor I.
Date Deposited: 09 Sep 2020 09:04
Last Modified: 09 Sep 2020 09:04

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